Coarse-refinement dilemma: on generalization bounds for data clustering (2021)
Vaz, Yule; Mello, Rodrigo Fernandes de 
; Grossi, Carlos Henrique
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, HOMOLOGIA, ESPAÇOS TOPOLÓGICOS
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VAZ, Yule e MELLO, Rodrigo Fernandes de e GROSSI, Carlos Henrique. Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, v. 184, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115399. Acesso em: 01 out. 2024.APA
Vaz, Y., Mello, R. F. de, & Grossi, C. H. (2021). Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, 184, 1-28. doi:10.1016/j.eswa.2021.115399NLM
Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399Vancouver
Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
